Machine Learning Beginner Quiz 4
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Beginner Quiz 4
1. What is the first step in a typical ML workflow?
Collecting data
Training a model
Making predictions
2. Which of these is an example of a feature?
Height of a person
The model’s accuracy
The number of algorithms
3. What is the purpose of splitting data into training and test sets?
To evaluate model performance on unseen data
To make the dataset smaller
To speed up training
4. Which of these is a type of supervised learning problem?
Classification
Clustering
Sorting
5. What is a target variable?
The value to be predicted
A feature in the dataset
A type of algorithm
6. Which of these is a common loss function?
Mean Squared Error
Mean Brightness
Maximum Value
7. What is a decision tree?
A model that splits data into branches
A tree in a forest
A data storage method
8. Which of these is a benefit of using ML?
Automating tasks
Making food
Building houses
9. What is a test set used for?
Evaluating a trained model
Training a model
Collecting data
10. What is feature scaling?
Adjusting features to a similar range
Making features larger
Counting features
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